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complement the Department’s ongoing activities in landscape-scale modelling, with a specific focus on nature-based solutions in agricultural landscapes. The successful candidate will be integrated
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of climate smart agriculture (mitigation, adaptation, and productivity). You will be contributing specifically to the area of cover cropping, crop rotation, and tillage to support climate smart farming. And
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and adaptive token pruning; Distributed and collaborative inference strategies; Mixture-of-Experts (MoE) architectures for scalable inference; Resource-aware and latency-constrained inference
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concerns of avoiding wrongful paternalism and discrimination. Specifically, while paternalistic discrimination seems to cater to a concern of (i) protecting people equally, it may fail to accommodate a
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) will engage in advanced research addressing contemporary challenges in the built environment through computational, experimental, and fabrication-driven approaches. Research activities will be carried
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researchers from diverse backgrounds, including microbiology, NMR spectroscopy, physics, and electrical engineering. Together, we are exploring new methodologies and technologies to push the boundaries
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job
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. Consequently, visual feedback must be used for adapting the robot behavior to the changing environment. The postdoc should contribute to the deployment of the developed solution in laboratories in both SDU and